Crewai Claude
Facilitates the setup of multi-agent AI systems using the crewAI framework for effective collaboration on complex tasks.
About
Crewai Claude provides a template for establishing multi-agent AI systems with ease, leveraging the crewAI framework. Agents collaborate on complex tasks, maximizing their collective intelligence. The project includes sequential and hierarchical crew implementations, as well as a Model Control Protocol (MCP) server for exposing CrewAI tools through a REST API. This allows Claude and other LLMs to access custom CrewAI tools, web search, and data analysis capabilities.
Key Features
- Supports sequential and hierarchical crew implementations.
- Utilizes UV for dependency management.
- 1 GitHub stars
- Allows access to custom CrewAI tools, web search, and data analysis capabilities.
- Includes a Model Control Protocol (MCP) server to expose CrewAI tools via a REST API.
- Uses YAML files for easy configuration of agents and tasks.
Use Cases
- Enabling AI agents to collaborate on complex problem-solving.
- Automating research and report generation.
- Integrating AI tools with large language models like Claude.